期刊文献+

基于步进加速退化试验的电子产品可靠性评估技术 被引量:23

Reliability assessment technology for electronic equipment based on step-up-stress accelerated degradation testing
原文传递
导出
摘要 为实现高可靠、长寿命产品的可靠性评估,提出了步进加速退化试验的新方法.首先给出了步进加速退化试验方法及其基本假设,然后探讨了步进退化数据向恒加退化数据的折算方法,在此基础上提出了基于伪失效寿命的步进加速退化可靠性评估算法和基于随机退化轨迹的步进加速退化可靠性评估算法,最后利用试验数据对该方法进行了验证.结果表明:与恒加退化试验相比,该方法可以极大地缩短试验时间和减少试验样本,因此,具有更高的效费比. In order to evaluate the reliability of equipment with high reliability and long life quickly, the method of step-up-stress accelerated degradation testing was presented. First, step-up-stress accelerated degradation testing method and the basic assumptions were given, then data conversion method from step up stress degradation data to constant stress degradation data was expatiated; based on these, step up stress accelerated degradation reliability assessment arithmetic based on pseud failure lifetime and random degradation path were proposed; a numerical example was given to illustrate the method in the end. Compared with constant degradation testing, step-up-stress accelerated degradation testing can decrease testing time and reduce sample number hugely, so it has higher ratio of cost efficiency.
出处 《系统工程理论与实践》 EI CSSCI CSCD 北大核心 2010年第7期1279-1285,共7页 Systems Engineering-Theory & Practice
基金 国家自然科学基金(60472009)
关键词 步进加速退化试验 伪失效寿命 随机退化轨迹 可靠性评估 step-up-stress accelerated degradation testing (SUSADT) pseud failure lifetime random degradation path reliability assessment
  • 相关文献

参考文献10

  • 1Nelson W. Analysis of performance degradation data from accelerated tests[J]. IEEE Transactions on Reliability, 1981, 5(1): 85-95. 被引量:1
  • 2Lu C J, Meeker W Q. Using degradation measures to estimate a time-to-failure distribution[J]. Technometrics, 1993, 35(2): 161-174. 被引量:1
  • 3Meeker W Q, Hamada M. Statistical tools for the rapid development and evaluation of high-reliability products[J]. IEEE Transactions on Reliability, 1995, 44(2): 187-198. 被引量:1
  • 4庄东辰..退化失效模型及其统计分析[D].华东师范大学,1994:
  • 5邓爱民,陈循,张春华,汪亚顺.基于性能退化数据的可靠性评估[J].宇航学报,2006,27(3):546-552. 被引量:133
  • 6Lawless. Statistical Models and Methods for Lifetime Data[M]. New York: John Wiley & Sons, 1997. 被引量:1
  • 7Zhao W B, Elsayed E A. An accelerated life testing model involving performance degradation[C]// Norman Butler Annual Reliability and Maintainability symposium, 2004: 324-329. 被引量:1
  • 8Lu J C, Jinho Park, Qing Yang. Statistical inference of a time-to-failure distribution derived from linear degradation data[J]. Technometrics, 1997, 39(4): 391-400. 被引量:1
  • 9Meeker M Q, Escobar L A. Statistical Methods for Reliability Data[M]. New York: John Wiley & Sons, 1998. 被引量:1
  • 10赵建印,孙权,周经伦,贺少勃,魏晓峰.基于加速退化数据的金属化膜脉冲电容器可靠性分析[J].强激光与粒子束,2006,18(9):1495-1498. 被引量:16

二级参考文献16

  • 1孙权,钟征,周经伦,魏晓峰,赵建印,郭良福,周丕璋,力一峥,陈德怀.自愈式金属化膜脉冲电容器耗损失效模型[J].强激光与粒子束,2004,16(8):1000-1004. 被引量:25
  • 2郭大德.金属化膜电容器的损耗分析及损坏机理[J].电力电容器,1995(2):12-15. 被引量:27
  • 3Zehua,C.Shurong,Z.Lifetime distribution based degradation analysis[J].IEEE Transactions on Reliability,2005,54(1):3-10 被引量:1
  • 4Jayaram,J,S,R.,Girish,T.Reliability prediction through degradation data modeling using aquasi-likelihood approach[C].Proceedings Annual Reliability and Maintainability Symposium,2005:193-199 被引量:1
  • 5Di,X.,Wenbiao,Z.Reliability prediction using multivariate degradation data[C].Proceedings Annual Reliability and Maintainability Symposium,2005:337-341 被引量:1
  • 6Crk,V.Reliability assessment from degradation data[C].Proceedings Annual Reliability and Maitainability Symposium,2000:155-161 被引量:1
  • 7Lu,J.C.,Meeker,W.Q.Using degradation measures to estimation a time-to-failure distribution[J].Technometrics,1993,35(2):161-174 被引量:1
  • 8Lu,J.C.,Jinho Park,Qing Yang.Statistical inference of a time-tofailure distribution derived from linear degradation data[J].Technometrics,1997,39(4):391-400 被引量:1
  • 9Meeker,M.Q.,Escobar,L.A.Statistical Methods for Reliability Data[M].New York:John Wiley & Sons,Inc.1998 被引量:1
  • 10Ennis J B,MacDougall F W,Cooper R A,et al.Self-healing pulse capacitors for the National Ignition Facility[C]//Proc of 12th IEEE International Pulsed Power Conference.1999:118-121. 被引量:1

共引文献142

同被引文献162

引证文献23

二级引证文献109

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部